Visual Analytics for Concurrent Java Executions

DOI 10.1109/ase.2019.00112 dblp

Abstract

Analyzing executions of concurrent software is very difficult. Even if a trace is available, such traces are very hard to read and interpret. A textual trace contains a lot of data, most of which is not relevant to the issue at hand. Past visualization attempts either do not show concurrent behavior, or result in a view that is overwhelming for the user. We provide a visual analytics tool, VA4JVM, for error traces produced by either the Java Virtual Machine, or by Java Pathfinder. Its key features are a layout that spatially associates events with threads, a zoom function, and the ability to filter event data in various ways. We show in examples how filtering and zooming in can highlight a problem without having to read lengthy textual data.

BibTeX

@inproceedings{Artho-al:ASE19,
  author    = {Cyrille Artho and
               Monali Pande and
               Qiyi Tang},
  title     = {Visual Analytics for Concurrent Java Executions},
  booktitle = {ASE},
  pages     = {1102--1105},
  publisher = {{IEEE}},
  year      = {2019},
}

Visual Analytics for Concurrent Java Executions

Abstract

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